Having decided upon the wording of the hypothesis, you should consider whether there are any other factors that may influence the study. Some factors that may influence prices may include:
The type of retail outlet. You must be consistent in your choice of retail outlet. For example, bars and restaurants often charge significantly more for water than a convenience store. You should decide which type of outlet to use and stick with it for all your data collection.
Some shops have different prices for the same item: a high tourist and lower local price, dependent upon the shopkeeper's perception of the customer.
Shops near main roads may charge more than shops in less accessible back streets, due to the higher rents demanded for main road retail sites.
The positive spread effects from other nearby areas of gentrification or from competing areas of tourist attraction.
The negative spread effects from nearby areas of urban decay.
Higher prices may be charged during the summer when demand is less flexible, making seasonal comparisons less reliable.
Cumulative sampling may distort the expected price-distance gradient if several shops cluster within a short area along the transect line followed by a considerable gap before the next group of retail outlets.
You should mention such factors in your investigation.